The Generalization Complexity Measure for Continuous Input Data

We introduce in this work an extension for the generalization complexity measure to continuous input data. The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction accuracy that can be expected when using a supervised classifier like a neu...

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Bibliographic Details
Main Authors: Iván Gómez, Sergio A. Cannas, Omar Osenda, José M. Jerez, Leonardo Franco
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/815156